Glissez pour afficher le menu

Lamda Functions

In Python, a lambda function is a small anonymous function that can have any number of arguments but only one expression. Think of it as a single beat in a track—concise yet impactful. Here's the basic syntax:


python

Lambda functions are perfect for situations where you need a simple function for a short period of time. They're like those catchy hooks in a song that you can't get out of your head—brief but effective. For example, if you're analyzing music data and need to quickly transform or filter data, a lambda function is your go-to tool.

Let's say you want to convert a list of track durations from seconds to minutes. Instead of writing a full function, you can use a lambda function:


              12
            
convert_to_minutes = lambda seconds: seconds / 60
print(convert_to_minutes(3600))

Here, convert_to_minutes is a lambda function that takes a duration in seconds and converts it to minutes. It's like creating a quick remix of your favorite track—efficient and to the point.

Lambda functions are often used with Python's map() and filter() functions. Imagine you're curating a playlist and want to apply a transformation or filter tracks based on certain criteria. Here's how you can use lambda functions to do just that:

Map: Apply a function to all items in a list.


              123
            
track_durations = [240, 300, 180, 360]
durations_in_minutes = list(map(lambda x: x / 60, track_durations))
print("Durations in Minutes:", durations_in_minutes)

Filter: Filter items in a list based on a condition.


              123
            
track_durations = [240, 300, 180, 360]
long_tracks = list(filter(lambda x: x > 300, track_durations))
print("Long Tracks:", long_tracks)

Tâche

Swipe to start coding

Define a lambda function calculate_average_loudness that calculates the average loudness of tracks from a given list of loudness levels. This task focuses on using lambda expressions in Python to perform calculations on music data.

Inputs:

loudness_levels: A list of numerical values representing the loudness levels of various tracks.

Steps:

Define a Lambda Function:
- Create a lambda function named calculate_average_loudness that takes loudness_levels as input.
- The lambda function should calculate the average by summing the loudness levels and dividing by the number of levels.

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 2. Chapitre 6

solution.py

main.py

Demandez à l'IA

Posez n'importe quelle question ou essayez l'une des questions suggérées pour commencer notre discussion

Lamda Functions


python

Let's say you want to convert a list of track durations from seconds to minutes. Instead of writing a full function, you can use a lambda function:


              12
            
convert_to_minutes = lambda seconds: seconds / 60
print(convert_to_minutes(3600))

Here, convert_to_minutes is a lambda function that takes a duration in seconds and converts it to minutes. It's like creating a quick remix of your favorite track—efficient and to the point.

Map: Apply a function to all items in a list.


              123
            
track_durations = [240, 300, 180, 360]
durations_in_minutes = list(map(lambda x: x / 60, track_durations))
print("Durations in Minutes:", durations_in_minutes)

Filter: Filter items in a list based on a condition.


              123
            
track_durations = [240, 300, 180, 360]
long_tracks = list(filter(lambda x: x > 300, track_durations))
print("Long Tracks:", long_tracks)

Tâche

Swipe to start coding

Inputs:

loudness_levels: A list of numerical values representing the loudness levels of various tracks.

Steps:

Define a Lambda Function:
- Create a lambda function named calculate_average_loudness that takes loudness_levels as input.
- The lambda function should calculate the average by summing the loudness levels and dividing by the number of levels.

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 2. Chapitre 6

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous